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RcmdrPlugin.HH (version 1.1-47)

Rcmdr Support for the HH Package

Description

Rcmdr menu support for many of the functions in the HH package. The focus is on menu items for functions we use in our introductory courses.

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Version

Install

install.packages('RcmdrPlugin.HH')

Monthly Downloads

1,882

Version

1.1-47

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

May 10th, 2018

Functions in RcmdrPlugin.HH (1.1-47)

scatter3dHH

Three-Dimensional Scatterplots and Point Identification
latticeFunctions

Support functions for the Xyplot.HH2 function.
scatterPlotMatrix.HH

Scatterplot Matrices
Xyplot.HH

Rcmdr Menu function to specify xyolot, other lattice plots, and likert plots.
scatterPlot.HH

Scatterplot menu with different defaults than Rcmdr.
twoWayTable.HH

Rcmdr menu interface to chisq.test
BoxCox

Rcmdr BoxCox demo renamed to active function.
Projector

Set Rcmdr options for good visibility on classroom projector and on netbook screen with 600 pixel height.
DotplottbRcmdr

Rcmdr menu interface to dotplot(panel=panel.dotplot.tb).
RcmdrPlugin.HH-package

Functions added to the Rcmdr package to support the introductory course at Temple University.
Interaction2wtRcmdr

Rcmdr menu interface to interaction2wt
MMCmenu

Menu interface to MMC plots.
QQPlot.HH

Quantile-Comparison (QQ) Plot
PredictModel

Rcmdr menu interface to predict
Scatter3DDialog.HH

Rcmdr 3D Scatterplot Dialog (HH)
anovaTableI.HH

Rcmdr interfacce to anova function
bestSubsetsRegressionModel.HH

Rcmdr interface to the regsubsets function in the leaps package.
normal.and.t.hypotheses.plot

Rcmdr normalHypothesesPlot and tHypothesesPlot menu.
CloseCommanderRestart

Close Rcmdr without questions and then restart.
PlotLikertDialog

Rcmdr Menu function to specify a likert plot.
R_options

Set R options from within R commander.
Regr1Plot

Rcmdr Menu function to display the squared residuals.
ResizeEtcDialog

Rcmdr Menu function to specify combining and resizing "trellis" objects.
confidenceIntervalsPlot

Rcmdr interface to plot confidence and prediction intervals in simple linear regression